Zhongmin Zhang

Unveiling Gene Modules at Atlas Scale through Hierarchical Clustering of Single-Cell Data

This paper introduces SuperSCC, a method for discovering cell identities and gene modules across datasets without integration, showing improved annotation accuracy and conserved immune cell status identification in lung microenvironments.

AtlasAgent: Vision language model and Agent-guided Framework for Evaluation of Atlas-scale Single-cell Integration

AtlasAgent uses a vision-language model to rapidly evaluate large-scale single-cell data integration, outperforming traditional methods in speed and efficiency.